Three-phase unbalanced dynamic power flow model predictive control method for distribution network with smart community

Abstract

The invention discloses a three-phase unbalanced dynamic power flow model prediction control method of a power distribution network including a smart community, mainly aiming at the problem of power flow and optimization control of the power distribution network by connecting multiple energy sources to the power distribution network. A method for a variety of distributed energy sources to be centrally connected to the distribution network at a single point for optimal control, and to solve the dynamic power flow of the distribution network online. Taking into account the fluctuation of distributed wind power, photovoltaic output and load in the community, aiming at community economy and environmental protection operation, the local consumption of distributed energy is realized, and energy interaction with the distribution network is carried out to improve the utilization rate of distributed energy. . According to the distributed power and load changes of the system, a dynamic power flow analysis method for a three-phase unbalanced distribution network with community multi-energy hubs is proposed. Using the model predictive control technology to solve the power flow of the distribution network online is in line with the real-time characteristics of the system operation, which is conducive to improving the control level and operation safety of the distribution network under the coordination of multiple energy sources.

Description

technical field [0001] The invention relates to the energy Internet, in particular to the dynamic power flow of a distribution network including a community multi-energy flow optimization management system, and belongs to the technical field of multi-energy intelligent management and control. Background technique [0002] Due to the decentralized and uncertain nature of distributed energy, direct access to the distribution network will have a greater impact on the power flow of the distribution network and increase the difficulty of regulating the distribution network. How to improve the distribution network's consumption and active management and control of distributed energy has become the focus of research on the premise of taking into account system economy, environmental protection, and safe operation. [0003] For the problem of distributed energy access to the distribution network, there are two types of processing methods: one is to directly connect distributed energ...

AI Technical Summary

Problems solved by technology

[0003] For the problem of distributed energy access to the distribution network, there are two types of processing methods: one is to directly connect distributed energy sources to the distribution network according to different node types, and then optimize and control the output to reconfigure the distribution network and improve resource utilization. Utilization rate; the literature "Calculation of Optimal Mixed Power Flow of Regional Integrated Energy System Considering Distribution Network Reconfiguration" integrates the method of network reconfiguration into the optimal power flow algorithm of regional integrated energy system to improve the penetration rate of clean energy and reduce system operating costs ; The document "Dynamic Reconfiguration Method of Distribution Network for Improving DG Acceptability" aims to improve the capacity of distributed energy consumption, and establishes a dynamic reconfiguration model of distribution network to improve energy utilization; Multi-time Scale Dynamic Optimal Scheduling of Distribution Network"Aiming at the access of distributed power to the distribution network, considering the uncertainty of its output prediction, using a multi-step dynamic rolling optimization method, a multi-time scale active power distribution based on model predictive control is proposed Network multi-source coordination optimization scheduling strategy to achieve the purpose of maximum consumption of distributed energy in the distribution network; but the above literature only considers distributed energy such as wind and solar, and connects it to the distribution network in a decentralized manner, without considering the grid connection of CCHP systems Operation conditions and three-phase unbalance, and due to the limitation of distribution network reconfiguration times, it is difficult to adapt to the real-time nature of system operation

[0004] The other is to integrate multiple energy sources through the Energy Hub (EH), and connect multiple distributed energy sources, energy storage systems, loads, etc. Regional Integrated Energy System Hierarchical Optimal Scheduling" Considering the characteristics of time-varying electricity prices and flexible operation of small and medium-sized regional integrated energy systems, a hierarchical optimization model is proposed on the basis of the EH model; the literature "Micro Energy Network Based on Energy Hub Energy Flow Modeling and Optimal Operation Analysis” proposed a new sub-energy hub modeling structure, and established an optimal scheduling model considering the energy consumption cost and environmental cost of the energy network. 》Aiming at the economic operation of the smart community, a multi-objective optimization dispatching model of multi-energy flow considering cold, heating and electricity is established, and the multi-energy flow dispatching model is optimized online by using the stochastic model predictive control method; but the focus is on The optimal scheduling of multi-energy sources in the microgrid does not consider the impact on the dynamic power flow of the distribution network when it is connected to the grid and the uncertainty of the time-varying load of each node in the distribution network.

Images